Launch.
Train. Serve.
Operate.
One full-stack GPU cloud for the entire model lifecycle. Fractional GPUs by the second, one-click training and inference, and a single bill - on infrastructure you can run yourself.
No credit card required. Spin up your first GPU in minutes.
Works with your stack
Most teams don't have a GPU problem.
They have a GPU-stack problem.
Getting a model to production means fighting scarce, overpriced GPUs and a stack stitched together from half a dozen vendors - burning budget and weeks before you ship. Here's what's broken today, and how Podstack fixes it.
Scarce, overpriced GPUs
You rent whole cards on long commitments and pay for capacity you never use.
Podstack: Fractional GPUs, per-minute billing, on-demand - pay only for the slice you use.
A fragmented stack
Compute, MLOps, inference and billing come from different vendors - many bills, many SLAs, endless glue code.
Podstack: One platform to launch, train, serve and operate. One operator, one SLA, one bill.
Slow to production
It takes weeks of infrastructure plumbing to get from an idea to a served model.
Podstack: One-click templates and a first-class CLI - from zero to a running model in minutes.
Lock-in & egress fees
Hyperscalers trap your data and workloads behind proprietary APIs and egress charges.
Podstack: Portable and self-hostable, with zero egress. Run it on our cloud - or your own.
One platform. Four products.
From your first prototype to a datacenter full of GPUs.
Not sure which GPU? Ask the advisor.
Describe your workload and get GPUs ranked from live pricing and availability.
Custom & Enterprise Solutions
Need something custom? Talk to us.
Reserved capacity, high-performance storage, managed labs, and production inference - planned with our team and sized to your workload.
Trusted by teams shipping AI
Developer Tools
SDK, CLI, API, or YAML. Your choice.
import podstack
from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
# Initialize Podstack
podstack.init(api_key="your-api-key")
# TraiOur own control plane and scheduler - not open-source patchwork.
Audited security controls for regulated workloads.
Choose where your workloads run.
One operator, one SLA, one bill.
Ready to accelerate your ML workflow?
Get started in minutes. No credit card required.
Cookie Preferences
We use cookies to enhance your browsing experience, analyze site traffic, and personalize content. By clicking "Accept All", you consent to our use of cookies.
Read our Privacy Policy for more information.